Slicing in NumPy is easy! ✂️ @BroCodez

Uploaded July 2025 | Updated September 2026, 2 weeks ago

#coding #numpy #python

Slicing in NumPy allows you to extract portions of an array using a [start:stop:step] syntax. It works similarly to Python lists but is more powerful, especially for multi-dimensional arrays.

00:00:00 row slicing
00:05:08 column slicing
00:08:38 row & column slicing

Learn Java enhanced switches in 8 minutes! 💡

$Learn Python VARIABLES in 10 minutes! ❎ #python #pythontutorial #pythoncourse # Variable = A container for a value (string, integer, float, boolean) # A variable behaves as if it was the value it contains # Strings first_name = Bro food = pizza email = Bro123@fake.com # Integers age = 25 quantity = 3 num_of_students = 30 # Float price = 10.99 gpa = 3.2 distance = 5.5 # Boolean is_student = True for_sale = False is_online = True print(fHello {first_name}) print(fYou are {age} years old) print(fYour gpa is: {gpa}) if is_student: print(You are a student) else: print(You are NOT student)$

Useful NumPy functions you should know! 🎚️